Search
Now showing items 1-10 of 23
A distributed topology for identifying anomalies in an industrial environment
(Springer, 2022)
[Abstract] The devastating consequences of climate change have resulted in the promotion of clean energies, being the wind energy the one with greater potential. This technology has been developed in recent years following ...
Novel adaptive approach for anomaly detection in nonlinear and time-varying industrial systems
(Oxford University Press, 2024)
[Abstract] The present research describes a novel adaptive anomaly detection method to optimize the performance of nonlinear and time-varying systems. The proposal integrates a centroid-based approach with the real-time ...
Intelligent one-class classifiers for the development of an intrusion detection system: the MQTT case study
(MDPI, 2022-01-30)
[Abstarct] The ever-increasing number of smart devices connected to the internet poses an unprecedented security challenge. This article presents the implementation of an Intrusion Detection System (IDS) based on the ...
Intrusion Detection With Unsupervised Techniques for Network Management Protocols Over Smart Grids
(MDPI AG, 2020-03-27)
[Abstract] The present research work focuses on overcoming cybersecurity problems in the Smart Grid. Smart Grids must have feasible data capture and communications infrastructure to be able to manage the huge amounts of ...
A fault detection system based on unsupervised techniques for industrial control loops
(Wiley, 2019-08)
[Abstract] This research describes a novel approach for fault detection in industrial processes, by means of unsupervised and projectionist techniques. The proposed method includes a visual tool for the detection of faults, ...
A novel method for anomaly detection using beta Hebbian learning and principal component analysis
(Oxford University Press, 2023-04)
[Abstract] In this research work a novel two-step system for anomaly detection is presented and tested over several real datasets. In the first step the novel Exploratory Projection Pursuit, Beta Hebbian Learning algorithm, ...
Intelligent model for active power prediction of a small wind turbine
(Oxford University Press, 2023-08)
[Abstract] In this study, a hybrid model based on intelligent techniques is developed to predict the active power generated in a bioclimatic house by a low power wind turbine. Contrary to other researches that predict the ...
A one-class classifier based on a hybrid topology to detect faults in power cells
(Oxford University Press, 2022-08-01)
[Abstract]: The use of batteries became essential in our daily life in electronic devices, electric vehicles and energy storage systems in general terms. As they play a key role in many devices, their design and implementation ...
A new method for anomaly detection based on non-convex boundaries with random two-dimensional projections
(Elsevier, 2020-08-19)
[Abstract] The implementation of anomaly detection systems represents a key problem that has been focusing the efforts of scientific community. In this context, the use one-class techniques to model a training set of ...
Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling
(MDPI, 2019)
[Abstract] The hotel industry is an important energy consumer that needs efficient energy management
methods to guarantee its performance and sustainability. The new role of hotels as prosumers
increases the difficulty ...
